Text utilities and datasets for PyTorch
Project description
# Pytorch-NLP
[](https://codecov.io/gh/MPetrochuk/PyTorch-NLP) [](http://pytorchnlp.readthedocs.io/en/latest/?badge=latest) [](https://github.com/dwyl/esta/issues) [](https://travis-ci.org/MPetrochuk/PyTorch-NLP) [](https://opensource.org/licenses/BSD-3-Clause)
# Test python3.6 -m “pytest” –cov-report=html:coverage –cov-report=term-missing –cov=lib -m “not slow” tests/
## Installation
Make sure you have Python 3.5+ and PyTorch 0.2.0 or newer. You can then install pytorch-nlp using pip:
pip install pytorch-nlp
### Optional requirements
If you want to use English tokenizer from SpaCy, you need to install SpaCy and download its English model:
pip install spacy python -m spacy download en_core_web_sm
Alternatively, you might want to use Moses tokenizer from NLTK. You have to install NLTK and download the data needed:
pip install nltk python -m nltk.downloader perluniprops nonbreaking_prefixes
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](https://codecov.io/gh/MPetrochuk/PyTorch-NLP){kind=link}
](https://github.com/dwyl/esta/issues){kind=link}
](https://travis-ci.org/MPetrochuk/PyTorch-NLP){kind=link}
](https://opensource.org/licenses/BSD-3-Clause){kind=link}